Questions tagged [doc2vec]
The doc2vec tag has no usage guidance.
17
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Embedding from Transformer-based model from paragraph or documnet (like Doc2Vec)
I have a set of data that contains the different lengths of sequences. On average the sequence length is 600. The dataset is like this:
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19 views
What is the meaning of, or explanation for, having multiple tags in a Doc2Vec model's TaggedDocuments?
I've tried reading the other answers on this topic but I'm unsure if I understand completely.
For my dataset, I have a series of tagged documents, "good" or "bad." Each document ...
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23 views
Word2Vec vs. Doc2Vec Word Vectors
I am doing some analysis on document similarity and was also interested in word similarity. I know that doc2vec inherits from word2vec and by default trains using word vectors which we can access.
My ...
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1answer
23 views
Clustering using both text and numerical features
I have a dataset that contains 2 types of features, one is generated from doc2vec and one is numerical feature. I would like to perform clustering analysis on them. However, due to the size of doc2vec ...
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15 views
doc2vec - paragraph or article as document
I'm trying to train a doc2vec model on the German wiki corpus. While looking for the best practice I've found different possibilities on how to create the training data.
Should I split every Wikipedia ...
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13 views
Building simple documents search engine
I'm having my first steps in the NLP and at the moment I'm looking forward to building my own documents search engine. I've already got to know with TFIDF in practical way and I've also read about ...
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1answer
20 views
Vector representation of documents for text classification
I'm looking for proper method of document embeddings. I know that doc2vec will give me the vector representations for given corpus, but how do I embed new documents? I need to train neural network ...
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15 views
Usage of Doc2Vec as feature extractor for text classification of websites with political articles
I have gathered political articles from polish websites for my engineering thesis. The main goal is to try to predict the website that input text belongs to. So for this few websites I want to create ...
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1answer
42 views
DBSCAN on textual and numerical columns
I have a dataset which has two columns:
title price
sentence1 12
sentence2 13
I have used doc2vec to convert the ...
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23 views
Document Similarity to List of Words in Sentiment Analysis [closed]
How would you go about finding document similarity to a list of words in Sentiment Analysis?
Looking find document similarity to multiple lists of words in sentiment analysis. I had been working on ...
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2answers
216 views
Word2Vec with CNN
I am trying to classify documents using CNN (convolutional neural network) with Word2Vec embeddings. However to do this, it requires me to trim all texts to the same length. I just pad all the ...
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21 views
Topic alignment / topic modelling
What is the most efficient method for detecting whether the article is mostly about a specific topic, but without lots of data for training? My task is to determine how much a document is e.g. about ...
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1answer
108 views
How to implement LSTM using Doc2Vec vectors to get representation?
Hi all. I'm a newbie in ML. I read and found a paper about A Multi-Level Plagiarism Detection System Based on Deep Learning Algorithms and want to implement this model . But I can't find more about ...
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47 views
T-SNE good clustering but SVM classification poor
I am trying to classify in 4 different classes, paragraph embedding vector computed with doc2vec using an non-linear svm over them.
When I visualize the embeddings using tensorboard t-sne I can see ...
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1answer
1k views
Use embeddings to find similarity between documents
I need to find cosine similarity between two text documents. I need embeddings that reflect order of the word sequence, so I don't plan to use document vectors built with bag of words or TF/IDF. ...
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1answer
80 views
Approach to semantic similarity between documents
I was wondering what approach people would take, or point me in the right direction on this challenge I have set myself. I am pretty new at this, I have covered some area but want to expand my ...
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16 views
Can feature representation acquired by a same model but trained on different corpus be used on the same classification model?
For example, if I wanna do document classification with doc2vec embeddings, first I train the training set to get doc2vec embeddings, and fit the embeddings to a classification model; later on when I ...
